Object detection is a fundamental visual recognition problem in computer vision and has
been widely studied in the past decades. Visual object detection aims to find objects of …

Autonomous Vehicles (AVs) have the potential to solve many traffic problems, such as
accidents, congestion and pollution. However, there are still challenges to overcome, for …

Current deep learning methods seldom consider the effects of small pedestrian ratios and
considerable differences in the aspect ratio of input images, which results in low pedestrian …

Occlusions present a great challenge for pedestrian detection in practical applications. In
this paper, we propose a novel approach to simultaneous pedestrian detection and …

Pedestrian detection is an important but challenging problem in computer vision, especially
in human-centric tasks. Over the past decade, significant improvement has been witnessed …

China is the world's largest automotive market and is ambitious for autonomous vehicles
(AVs) development. As one of the key goals of AVs, pedestrian safety is an important issue …

Accurate and consistent vulnerable road user detection remains one of the most challenging
perception tasks for autonomous vehicles. One of the most complex outstanding issues is …

Visible-range camera sensors have been widely used for pedestrian detection. However,
most of the methods, which employ visible-range color cameras, do not perform well under …

Pedestrian detection is a crucial task in intelligent transportation systems, which can be
applied in autonomous vehicles and traffic scene video surveillance systems. The past few …

Pedestrian detection, as a research hotspot in the field of computer vision, is widely used in
many fields, such as automatic driving, video surveillance, robots and so on. In recent years …